DAY 1 – MORNING SESSION
General Manager of the Oakland Athletics
Moneyball: Lessons for Life & Business from Baseball’s Best GM
Billy Beane explores his innovative, winning approach to management and leadership. He explains how to win against companies that have bigger budgets, more manpower, and higher profiles by utilizing analytics to identify and re-purpose undervalued assets. Beane uses the powerful metaphor of baseball, but his genius lies in his ability to draw striking parallels to almost any industry. Beane’s inspiring tale, a modern day David vs. Goliath, is an unforgettable talk, a brilliant confluence of baseball and business success that teaches what it really takes to succeed “big” with limited resources
President and CEO, Geisinger Health System
How Geisinger Uses Analytics to Transform Healthcare
Chief Experience Officer, Cleveland Clinic
Using Data to Transform the Patient Experience
DAY 1 – AFTERNOON SESSION
First Series of Breakout Sessions
Session A: Building An Analytics Strategy Based On The Healthcare Analytics Adoption Model* (Engaging team-oriented analytics maturity self-assessment and feedback)
Dale Sanders (Senior Vice President, Health Catalyst)
The Healthcare Analytics Adoption model borrows lessons learned from the HIMSS EMR Adoption Model, and describes an analogous approach for assessing the adoption of analytics in healthcare. This 8-level model provides a framework for evaluating a health organization’s adoption of analytics, a roadmap for organizations to measure success, and a framework for evaluating vendor products. In this session we will also introduce a new analytics assessment tool that will help you identify the strengths and weaknesses of your current analytics system from a technical and organizational perspective, as well as a blueprint for how to move analytics forward in your organization.
Session B: Breakthroughs In Healthcare Waste Reduction And Patient Safety
Multiple studies have estimated that at least 30% of US healthcare expenditures are wasteful. But how do you identify and reduce that waste? In this session, we will share with you a three-part framework for understanding, measuring and addressing waste reduction. In particular, we will highlight the importance patient safety and injury prevention, framing the importance of shifting from a system of incident reporting (which creates a culture of blame and guilt) to a system in which patient injury is regarded as a process failure rather than a person failure. To make that transition, health systems will need to 1) define process flows and metrics for each major type of patient injury; and 2) create a learning environment in which team members are engaged in process redesign to prevent process failure and injury. A leading health system in patient safety and quality will also share their best practices in how they have created a culture of patient safety and quality.
Session C: How Stanford Uses Analytics To Improve Care
In this session, you will hear from both clinical and IT senior leaders about how Stanford has used data and analytics to improve care in such areas as CAUTI, Heart Failure, and Community Care, a population health initiative.
Session D: Overview Of The Healthcare Analytics Market
Jim Adams (Executive Director, The Advisory Board)
In this session, a senior market analyst will give an unbiased, third-party overview of the healthcare analytics market including market forces driving change and usage, big data, the role of analytics in population health and ACOs, payer/patient data and analytics, the evolution of costing data, future recommendations, and vendor rankings.
Second Series of Breakout Sessions
Session A: Getting The Most Out Of Your Data Analyst* (Fun, interactive, team oriented session)
John Wadsworth (VP, Health Catalyst), Russ Staheli (VP, Health Catalyst)* — Hands on Session
Many analysts spend 90% of their time managing rather than analyzing data. How do we enable analysts to do what they were hired to do? In this session, you will learn best practices on helping your analyst focus more on analytics and less and data capture and provisioning, as well as how to create sustainable and meaningful analytics. We will show best practices and common pitfalls to avoid. This will be a fun and interactive session with many hands-on examples and exercises.
Session B: How To Make Analytics A Strategic, C-Level Imperative
Many individuals, teams, and healthcare leaders are catching the vision of the importance of moving to data-driven, systematic healthcare improvement. However some are frustrated with the inability to convey and influence executive leadership to adopt this as a strategic priority. In this session, we will invite two different health systems to share their experiences on how they made the case for analytics and data-driven healthcare to be an executive level initiative.
Session C: Creating Physician Engagement
Getting physician buy-in and engagement is critical to any data-driven quality improvement initiative. This session will share key best practices in getting physician engagement including identifying and empowering physician leaders in key functional teams, compensating for leadership roles, educating and developing a common purpose, triad teamwork approaches, giving quick, easy, and responsive access to the right data to identify problems and make recommendations, and supporting and empowering physician-led recommendations.
Session D: User Group Kickoff And New Product Roadmap* (Interactive team session)
In this session, we will kick off a technical user group. We will invite key health systems to share technical and analytical best practices and learnings and with question and answer audience follow up. We will discuss the user group function: how often this group would meet, proposed collaboration tools, and solicit your feedback on how this could best fit your needs. Following your user group feedback, we will officially kick off our user group session by sharing our current and long-term potential product roadmap with the intent of getting your interactive feedback on our priorities. We will also share some of our newest products.
(Founder And Chairman of Leavitt Partners, Former Secretary of The U.S. Department of HHS)
Healthcare Reform 2.0: Anticipating What’s Next
In recent months, health care reform efforts have run into major roadblocks: there were numerous missteps and technical challenges with the health insurance exchange rollout and the federal government postponed the mandate that would have required all businesses with 50 or more employees to provide health insurance until 2015. As midterm elections approach the viability of the Affordable Care Act (ACA) will be challenged as Republicans continue to introduce repeal and replace measures and use the law against their Democrat counterparts. Furthermore, the results of the November elections could have a significant impact on how the law continues to be implemented (if at all). During this session, Gov. Mike Leavitt will discuss the future of the health care system and what Americans can expect to happen in the next 24 months.
DAY 1 – EVENING SESSION
Director of Engineering, Google and leading futurist
The Acceleration of Technology in the 21st Century: Impacts on Healthcare and Medicine
We are now at a pivotal time in health technologies. With the collection of the genome in 2003 and the advent of techniques such as RNA interference that can actually turn off the genes that promote disease and aging, medicine has transformed itself into an information technology. As such, medicine is now subject to the “law of accelerating returns,” meaning that these technologies will be a thousand times more powerful than today in ten years, and a million times more powerful in 20 years. Up until recently, health interventions were hit or miss. We’d find something that seemed to work with only crude models of how they worked. Drug development was called “drug discovery,” basically finding things that worked rather than designing them. Today it is within our grasp to slow the aging process and take full advantage of advances in bio- and nanotechnology that have already begun and will be occurring at an accelerating pace in the years ahead. Ultimately, we will merge with our machines, vastly extending human health and longevity, and greatly increasing our intelligence.
DAY 2 – MORNING SESSION
President And Chief Clinical Officer, Allina Health
How Allina Health Uses Analytics To Transform Care
Chief Clinical Systems Integration Officer, Texas Children’s Hospital
The Imperative of Linking Clinical and Financial Data
Quality and cost improvements require the intelligent use of financial and clinical data coupled with education for multi-disciplinary teams who are driving process improvements. Once a data warehouse is established, healthcare organizations need to set up multi-disciplinary clinical, financial, and IT specialist teams to make the best use of the data. Sometimes, financial involvement is minimized or even excluded for a number of reasons that can turn out to be counterproductive. However, including financial measurements and participation up front can help enhance the recognized value and sustainability of quality improvement or waste reduction efforts. the In this session you will learn keys to success and real-life examples of linking clinical, financial and patient satisfaction data via multi-disciplinary teams that produce impressive results.
Former Chairman and CEO, Health Catalyst
A Breakthrough Accountable Care Transformation Framework
Unlike few can do, Dr. David Burton has developed an accountable care transformation framework consisting of 6 fundamental building blocks. By acquiring proficiency in each of these six dimensions, healthcare delivery systems can create an asset which can be marketed to various types of governmental and commercial payers, which sponsor health benefit plans and offer shared accountability contracts (i.e. accountable care) into which these population health management sponsors can enter.
The key learning points of session are:
- The six building blocks of accountable care transformation (data analytics infrastructure, provider network, population risk evaluation, quality/safety outcomes, cost outcomes, and at-risk contracting and monitoring)
- The central role patient registries play in success in population health management
- Pragmatic tools and methodologies to help healthcare delivery systems become proficient in each of the dimensions of the framework
Dr. Burton will also share a white paper detailing this framework, share the slides, and offer the opportunity for follow-on sessions for those that wish to get continued insight, collaborate with others, and share challenges or best practices.
DAY 2 – AFTERNOON SESSION
Third Series of Breakout Sessions
Session A: Organizing For Analytics Success* (Fun, interactive, session)
Many organizations underestimate the need for organizational shifts and changes required for successful data-driven decision making. In this session, we will explain the three types of ongoing systems that are needed for sustainable analytics improvement and implementation. We will share best practices in how organizations can structure executive teams, clinical integration and guidance teams, and workgroup teams, as well as share examples of successes and setbacks when these principles are implemented or missed. We will also describe key roles and responsibilities and charters, show sample meeting agendas and recommended frequencies, and give you a set of tools that you can leverage for your initiatives.
Session B: How To Drive Clinical Improvement Programs That Get Results* (Fun, interactive, team-oriented session)
Tom Burton (SVP and Co-Founder, Health Catalyst)
Getting accurate data does not improve care unless empowered teams are created with knowledge of how to apply the data. This session will focus on best practices in data-driven clinical improvements projects including recruiting the right cross-functional team, initial team training and kickoff, defining and selecting AIM statements, defining the right cohort, fixing data quality, identifying direct interventions, soliciting front line input, measuring baseline metrics, defining and rolling out intervention, and reviewing results and progress. This will be a fun, educational, and hands-on learning session using object lessons, mini-projects, and good/bad examples to demonstrate key principles.
Session C: Key Principles And Approaches To Population Health Management
Population Health Management (PHM) is in its early stages of maturity, suffering from inconsistent definitions and understanding, and is overhyped by vendors and ill-defined by the industry. Healthcare IT vendors are labeling themselves with this new and popular term, and are quite often simply re-branding their old-school, fee-for-service, and encounter-based analytic solutions. Even the analysts —KLAS, Chilmark, IDC, and others—are having a difficult time classifying the market. This session will identify and define key criteria that any health system should consider when considering a population health management initiative. Then we will hear from two successful health systems — one a large health system and another a physician-led group on their different approaches to population health management.
Session D: Getting a ROI Out of Your Healthcare Analytics Projects* (Fun, interactive, team-oriented session)
Bobbi Brown (VP, Financial Engagement), Leslie Falk, RN, MBA (VP, ROI Success), John Henderson (Director, Texas Children’s Hospital)
Hospitals and healthcare systems need a systematic approach and tools to demonstrate ROI from their healthcare improvement projects. In this session, we will share a four-step process for demonstrating ROI: 1) define the project and business need, 2) begin to quantify ROI, 3) recruit, train and plan, and 4) evaluate costs, revenue and direct benefits. We will also distribute a Clinical Improvement Financial tool and an Executive Communications tool as a template for estimating, calculating and communicating your ROI results, and share best practices from a leading health system on how they are demonstrating ROI results.
Predictive and Suggestive Analytics
Dale Sanders (Senior Vice President, Health Catalyst)
Make more informed decisions about adopting predictive analytics in healthcare so you can separate today’s hype from reality. In this session, we will cover topics such our fixation on predictive analytics in readmissions, the common trap of predictions without interventions, the common misconceptions of correlations verses causation, the importance of putting the basics first, and a more simple and pragmatic predictive analytics starting point called “suggestive analytics.” We will also participate in some predictive analytics examples using audience profile and behavior data.
Health City Cayman Island and Dr. Shetty Hospitals: A Documentary
Dale Sanders (SVP, Health Catalyst), Invited Cayman Islands and India Speakers
Health Catalyst CEO